Special Issue on Artificial Intelligence for UAV-Enabled Communication Networks

Published 11 September, 2023


Unmanned aerial vehicles (UAVs) have revolutionized communication networks by providing efficient and quicker data transmission services, particularly in remote and hard-to-reach areas. UAVs find application in diverse areas such as search and rescue operations, border security, infrastructure inspection, and surveillance, among others. Amidst the array of technologies available, artificial intelligence (AI) stands out as one of the most promising catalysts for UAV-enabled communication networks. AI addresses a range of technical challenges, including intricate decision-making processes, management of wireless networks, optimization of resources, and the discovery of in-depth knowledge in complex and dynamic networking environments.

This special issue explores the emerging opportunities and challenges within AI for UAV-enabled communication networks. It aims to bring together researchers and experts from academia and industry to present original research and review articles.

Topics covered include, but are not limited to:

  • AI and machine learning architectures for UAV-enabled communication networks
  • AI-assisted dynamic resource allocation for UAV-enabled communication networks
  • AI-assisted navigation and trajectory optimization in UAV-enabled communication networks
  • AI-assisted security and privacy in UAV-enabled communication networks
  • Intelligent waveform and protocol design for UAV-enabled communication networks
  • Applications and use-cases of AI for UAV-enabled communication networks
  • Testbeds and implementations of AI for UAV-enabled communication networks

Important dates:

  • Submission deadline: 31 March 2024
  • First notification: 15 May 2024
  • Revised version deadline: 15 June 2024
  • Final notification: 15 July 2024
  • Publication date: November 2024

Submission instructions:

Please read the Guide for Authors before submitting. All articles should be submitted online via the editorial management system; please select article type AI-UAVNET.

Guest editors:

  • Prof. Li Zhou, National University of Defense Technology, China. Email: zhouli2035@nudt.edu.cn
  • Prof. Hao Yin, Institute of China Electronic System Engineering, Beijing, China. Email: yinhao@cashq.ac.cn
  • Prof. Jibo Wei, National University of Defense Technology, China. Email: wjbhw@nudt.edu.cn
  • Prof. Dewen Hu, National University of Defense Technology, China. Email: dwhu@nudt.edu.cn
  • Prof. Victor C.M. Leung, The University of British Columbia, Canada. Email: vleung@ece.ubc.ca

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